Discovering Causal Factors Explaining Business Process Performance Variation

  • Bart F. A. HompesEmail author
  • Abderrahmane Maaradji
  • Marcello La Rosa
  • Marlon Dumas
  • Joos C. A. M. Buijs
  • Wil M. P. van der Aalst
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10253)


Business process performance may be affected by a range of factors, such as the volume and characteristics of ongoing cases or the performance and availability of individual resources. Event logs collected by modern information systems provide a wealth of data about the execution of business processes. However, extracting root causes for performance issues from these event logs is a major challenge. Processes may change continuously due to internal and external factors. Moreover, there may be many resources and case attributes influencing performance. This paper introduces a novel approach based on time series analysis to detect cause-effect relations between a range of business process characteristics and process performance indicators. The scalability and practical relevance of the approach has been validated by a case study involving a real-life insurance claims handling process.


Process mining Performance analysis Root cause analysis 



This research is funded by the Australian Research Council (grant DP150103356), the Estonian Research Council (grant IUT20-55) and the RISE_BPM project (H2020 Marie Curie Program, grant 645751).


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Bart F. A. Hompes
    • 1
    • 2
    Email author
  • Abderrahmane Maaradji
    • 3
  • Marcello La Rosa
    • 3
  • Marlon Dumas
    • 4
  • Joos C. A. M. Buijs
    • 1
  • Wil M. P. van der Aalst
    • 1
  1. 1.Eindhoven University of TechnologyEindhovenThe Netherlands
  2. 2.Philips ResearchEindhovenThe Netherlands
  3. 3.Queensland University of TechnologyBrisbaneAustralia
  4. 4.University of TartuTartuEstonia

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